Growth terms with/out a time-varying ... PreviousNext
Mplus Discussion > Growth Modeling of Longitudinal Data >
Message/Author
 YUN HWAN KIM posted on Wednesday, September 26, 2018 - 12:43 pm
Dear Muthen(s)

Please let me ask if I can interpret the results as below.

In the growth model of "A", both linear and quadratic terms were significant. After including "B" as a time-varying covariate, the linear term became much smaller in its magnitude (about two-thirds disappeared), and the quadratic term was no longer significant.

And I did the same after switching "A" and "B". In the growth model of "B", both linear and quadratic terms were significant. After including "A" as a time-varying covariate, the linear term became bit smaller in its magnitude (about one-fourths disappeared), and the quadratic term was still significant.

Based on the above, can I interpret (or infer) that the effects of "B" on the growth of "A" seem to be greater than the effects of "A" on the growth of "B"?

I would sincerely appreciate your answer.
 Bengt O. Muthen posted on Wednesday, September 26, 2018 - 6:26 pm
Your time-varying covariates probably have a trend. You can explore that by growth modeling.
 YUN HWAN KIM posted on Wednesday, September 26, 2018 - 9:19 pm
Dear Muthen,

I appreciate your quick answer. And your guess is correct. Both "A" and "B" presented similar curvilinear trends over time. And they are theoretically expected to have a mutual influence.

In order further to figure out the relations between the two (one of them was the above question: if the effect of "A" on "B" is stronger than that of "B" on "A"), I would ideally run a parallel process growth model, but it comes with numerous estimation problems.

My last resort was, therefore, to run a growth model of "A" while including "B" as a time-varying covariate and to run a growth model of "B" while including "A" as a time-varying covariate (and I obtained the above-mentioned results). Seeing that "B" diminished the growth pattern of "A" to a greater extent than "A" diminished the growth pattern of "B", I reasoned that this may indicate the stronger effects of "B" on the growth "A" than the other way round. But I am wondering if this reasoning makes sense (although I am aware that I did not technically test it), or if it is too much stretched-out interpretation/inference.
 Bengt O. Muthen posted on Friday, September 28, 2018 - 11:07 am
This general question is suitable for SEMNET.
 YUN HWAN KIM posted on Friday, September 28, 2018 - 11:06 pm
Dear Muthen

I appreciate your answer.
Back to top
Add Your Message Here
Post:
Username: Posting Information:
This is a private posting area. Only registered users and moderators may post messages here.
Password:
Options: Enable HTML code in message
Automatically activate URLs in message
Action: